I am unable to get the effect estimate in the leave-one-out analysis plot (Proportion Meta-analysis )
Dataset used for the analysis:
| study | n | event | age |
|---|---|---|---|
| ABC, 2011 | 50 | 3 | Young |
| CDEX, 2020 | 5000 | 500 | Older |
| CDEX, 2025 | 8000 | 300 | Older |
| CVBE, 2015 | 2000 | 50 | Young |
| CVBE, 2018 | 3000 | 510 | Young |
| FGH, 2010 | 100 | 2 | Older |
| Gandhi, 2022 | 1000 | 200 | Young |
| Padhi 2024 | 500 | 30 | Older |
| Tripathy, 2023 | 800 | 100 | Young |
| XYZ, 2025 | 750 | 25 | Older |
Codes used for the 'rma' creation:
m.prop <- metaprop(event = event,
n = n,
studlab = study,
data = dat,
method = "Inverse",
sm = "PFT", #"Proportion - Freeman-Tukey" transformation
common = FALSE,
random = TRUE,
method.tau = "PM",
method.random.ci = TRUE,
title = "Prevalance of Diabetes")
summary(m.prop)
Codes used for the leave-one-out analysis plot:
forest(metainf(m.prop, pooled = "random"),
prediction = TRUE, common = FALSE,
layout = "RevMan5",col.bg = "red", col.diamond = "blue",
text.random = "Pooled estimate",
smlab = "prevalence of diabetes",
digits = 4,
pooled.events = TRUE,
text.addline1 = "Sensitivity analysis",
text.addline2 = "Leave-one-out meta-analysis",
xlim = c(0.005, 0.5))
I have attached the outputs for the above codes.
If someone can help me out with this issue, it will be much appreciated.
Thanks in advance.
